Developer Tutorial: Mixed Models Part 2: Handling Repeated Measures in Time and Space

eclaassen

This technical presentation includes examples presented in JMP for Mixed Models. Data from the book used in the presentation is included. The video is over 90 minutes long with questions interspersed throughout. This tutorial and examples of regression, random coefficient and multi-level models all require JMP Pro. Part 3 will be scheduled for early 2022 and will cover assessing power and precision for mixed models.

 

72967_JMP_for_Mixed_Models_example.jrn

Mixed Models Part 2 Claassen.pdf

H2OSUP

@eclaassen thank you for presenting on mixed models. I got a lot out of you presentations. I wanted to get your thoughts on how to handle a data set I am analyzing. I have 9 products which will be my treatment variable. Six parts were made from each product and weathered for up to 2500 hours. During the weathering separate parts are removed for testing at 500, 800, 1100, 1400 & 2500 hours. A part is also tested at 0 hours. I am planning to analyze the hours as a categorical factor. I am thinking the hours should be treated as split-plot in structure and not repeated measures as the same part was not tested throughout the weathering time. Three measurements are done on each part at different positions (A, B, C). I am thinking the positions could be treated as spatial in structure. Can you have a mixed model with a combination of split-plot and spatial structures? Thanks, Mike Morrow